skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Enabling large-scale viscoelastic calculations via neural network acceleration

Abstract

One of the most significant challenges involved in efforts to understand the effects of repeated earthquake cycle activity is the computational costs of large-scale viscoelastic earthquake cycle models. Computationally intensive viscoelastic codes must be evaluated at thousands of times and locations, and as a result, studies tend to adopt a few fixed rheological structures and model geometries and examine the predicted time-dependent deformation over short (<10 years) time periods at a given depth after a large earthquake. Training a deep neural network to learn a computationally efficient representation of viscoelastic solutions, at any time, location, and for a large range of rheological structures, allows these calculations to be done quickly and reliably, with high spatial and temporal resolutions. We demonstrate that this machine learning approach accelerates viscoelastic calculations by more than 50,000%. Finally, this magnitude of acceleration will enable the modeling of geometrically complex faults over thousands of earthquake cycles across wider ranges of model parameters and at larger spatial and temporal scales than have been previously possible.

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]
  1. Harvard Univ., Cambridge, MA (United States). Dept. of Earth and Planetary Sciences
Publication Date:
Research Org.:
Krell Inst., Ames, IA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA); National Science Foundation (NSF); Southern California Earthquake Center; USGS
OSTI Identifier:
1465348
Alternate Identifier(s):
OSTI ID: 1402388
Grant/Contract Number:  
FG02-97ER25308; EAR‐1033462; 6239; G12AC20038
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Geophysical Research Letters
Additional Journal Information:
Journal Volume: 44; Journal Issue: 6; Journal ID: ISSN 0094-8276
Publisher:
American Geophysical Union
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES

Citation Formats

DeVries, Phoebe M. R., Thompson, T. Ben, and Meade, Brendan J. Enabling large-scale viscoelastic calculations via neural network acceleration. United States: N. p., 2017. Web. doi:10.1002/2017GL072716.
DeVries, Phoebe M. R., Thompson, T. Ben, & Meade, Brendan J. Enabling large-scale viscoelastic calculations via neural network acceleration. United States. doi:10.1002/2017GL072716.
DeVries, Phoebe M. R., Thompson, T. Ben, and Meade, Brendan J. Tue . "Enabling large-scale viscoelastic calculations via neural network acceleration". United States. doi:10.1002/2017GL072716. https://www.osti.gov/servlets/purl/1465348.
@article{osti_1465348,
title = {Enabling large-scale viscoelastic calculations via neural network acceleration},
author = {DeVries, Phoebe M. R. and Thompson, T. Ben and Meade, Brendan J.},
abstractNote = {One of the most significant challenges involved in efforts to understand the effects of repeated earthquake cycle activity is the computational costs of large-scale viscoelastic earthquake cycle models. Computationally intensive viscoelastic codes must be evaluated at thousands of times and locations, and as a result, studies tend to adopt a few fixed rheological structures and model geometries and examine the predicted time-dependent deformation over short (<10 years) time periods at a given depth after a large earthquake. Training a deep neural network to learn a computationally efficient representation of viscoelastic solutions, at any time, location, and for a large range of rheological structures, allows these calculations to be done quickly and reliably, with high spatial and temporal resolutions. We demonstrate that this machine learning approach accelerates viscoelastic calculations by more than 50,000%. Finally, this magnitude of acceleration will enable the modeling of geometrically complex faults over thousands of earthquake cycles across wider ranges of model parameters and at larger spatial and temporal scales than have been previously possible.},
doi = {10.1002/2017GL072716},
journal = {Geophysical Research Letters},
issn = {0094-8276},
number = 6,
volume = 44,
place = {United States},
year = {2017},
month = {3}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Save / Share:

Works referenced in this record:

Time-Dependent Distributed Afterslip on and Deep below the Izmit Earthquake Rupture
journal, February 2002

  • Burgmann, R.
  • Bulletin of the Seismological Society of America, Vol. 92, Issue 1
  • DOI: 10.1785/0120000833

How do “ghost transients” from past earthquakes affect GPS slip rate estimates on southern California faults?: “GHOST TRANSIENTS” AND FAULT SLIP RATES
journal, April 2013

  • Hearn, E. H.; Pollitz, F. F.; Thatcher, W. R.
  • Geochemistry, Geophysics, Geosystems, Vol. 14, Issue 4
  • DOI: 10.1002/ggge.20080

Viscoelastic Block Models of the North Anatolian Fault: A Unified Earthquake Cycle Representation of Pre‐ and Postseismic Geodetic Observations
journal, November 2016

  • DeVries, Phoebe M. R.; Krastev, Plamen G.; Dolan, James F.
  • Bulletin of the Seismological Society of America, Vol. 107, Issue 1
  • DOI: 10.1785/0120160059

Modelling of stress patterns along the western part of the north anatolian fault zone
journal, September 1988


Dynamic models of interseismic deformation and stress transfer from plate motion to continental transform faults: MODELS OF INTERSEISMIC DEFORMATION
journal, May 2012

  • Takeuchi, Christopher S.; Fialko, Yuri
  • Journal of Geophysical Research: Solid Earth, Vol. 117, Issue B5
  • DOI: 10.1029/2011JB009056

Multilayer feedforward networks are universal approximators
journal, January 1989


Elastic and inelastic triggering of earthquakes in the North Anatolian Fault zone
journal, October 2006


Stress Triggering of the 1999 Hector Mine Earthquake by Transient Deformation Following the 1992 Landers Earthquake
journal, May 2002

  • Pollitz, F. F.
  • Bulletin of the Seismological Society of America, Vol. 92, Issue 4
  • DOI: 10.1785/0120000918

Viscoelastic stress-triggering of the 1999 Hector Mine Earthquake by the 1992 Landers Earthquake
journal, August 2001


Gradient-based learning applied to document recognition
journal, January 1998

  • Lecun, Y.; Bottou, L.; Bengio, Y.
  • Proceedings of the IEEE, Vol. 86, Issue 11
  • DOI: 10.1109/5.726791

Fault interaction and stress triggering of twentieth century earthquakes in Mongolia: STRESS TRIGGERING OF EARTHQUAKES IN MONGOLIA
journal, October 2003

  • Pollitz, Fred; Vergnolle, Mathilde; Calais, Eric
  • Journal of Geophysical Research: Solid Earth, Vol. 108, Issue B10
  • DOI: 10.1029/2002JB002375

Stress transfer and nonlinear stress accumulation at the North Anatolian fault, Turkey
journal, February 1990

  • Tselentis, G. -Akis; Drakopoulos, J.
  • Pure and Applied Geophysics PAGEOPH, Vol. 132, Issue 4
  • DOI: 10.1007/BF00876814

Delayed triggering of the 1999 Hector Mine earthquake by viscoelastic stress transfer
journal, May 2001

  • Freed, Andrew M.; Lin, Jian
  • Nature, Vol. 411, Issue 6834
  • DOI: 10.1038/35075548

Quasi-static internal deformation due to a dislocation source in a multilayered elastic/viscoelastic half-space and an equivalence theorem
journal, July 2006


Post-earthquake ground movements correlated to pore-pressure transients
journal, July 2003

  • Jónsson, Sigurjón; Segall, Paul; Pedersen, Rikke
  • Nature, Vol. 424, Issue 6945
  • DOI: 10.1038/nature01776

General expressions for internal deformation fields due to a dislocation source in a multilayered elastic half-space
journal, May 2005


Izmit earthquake postseismic deformation and dynamics of the North Anatolian Fault Zone
journal, January 2009

  • Hearn, E. H.; McClusky, S.; Ergintav, S.
  • Journal of Geophysical Research, Vol. 114, Issue B8
  • DOI: 10.1029/2008JB006026

Approximation by superpositions of a sigmoidal function
journal, December 1989

  • Cybenko, G.
  • Mathematics of Control, Signals, and Systems, Vol. 2, Issue 4
  • DOI: 10.1007/BF02551274

Geodetically constrained models of viscoelastic stress transfer and earthquake triggering along the North Anatolian fault: VISCOELASTIC STRESS TRANSFER MODELS
journal, July 2016

  • DeVries, Phoebe M. R.; Krastev, Plamen G.; Meade, Brendan J.
  • Geochemistry, Geophysics, Geosystems, Vol. 17, Issue 7
  • DOI: 10.1002/2016GC006313